Business Intelligence Analyst - Financial Crime at Tamara

Riyadh, Riyadh Region, Saudi Arabia -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Fraud Risk Management, Governance, Regulatory Compliance, Investigative Skills, Analytical Skills, Collaboration, Communication, Attention to Detail, Structured Thinking, Independent Work, Business Judgment, Integrity, Technical Proficiency, Fraud Operations

Industry

Financial Services

Description

About Us Tamara is the leading shopping and payments platform in Saudi Arabia and the GCC region, with a mission to empower people in their daily lives and revolutionize how they shop, pay, and bank. The company was founded by serial entrepreneur Abdulmajeed Alsukhan along with his partners Turki Bin Zarah and Abdulmohsen Al Babtain. Tamara operates out of its headquarters in Riyadh, Saudi Arabia, and has offices in the UAE, Egypt, Germany, and Vietnam. Our large, dedicated team of professionals continues to grow as we expand our reach and impact. Serving millions of users and partnering with thousands of merchants, Tamara collaborates with leading global and regional brands such as SHEIN, Jarir, noon, IKEA, H&M, and Farfetch, as well as local small and medium businesses. The company is backed by SNB Capital and Sanabil Investments, a wholly-owned company by the Public Investment Fund (PIF), Checkout.com, Coatue, Shorooq Partners, and Endeavor Catalyst, among others. Your Role We’re seeking a Business Intelligence Analyst to join our Fraud Risk team. In this role, you will play a key part in establishing, enhancing, and maintaining Tamara’s Fraud Framework in alignment with SAMA’s Counter-Fraud Framework (CFF), ensuring governance, oversight, and compliance maturity across all internal and external fraud risk domains. You will contribute to developing fraud risk strategies by analyzing data, investigating internal fraud cases, and assessing control effectiveness across the organization. Drawing on your experience in data analysis (SQL) and exposure to fraud operations, you will support continuous improvements to Tamara’s fraud prevention and detection environment. You will serve as a SAMA-facing subject matter expert, assisting in providing evidence, documentation, and responses to SAMA inquiries and ensuring full alignment with regulatory expectations. Your experience in working with or within Big Four consulting firms on fraud risk management frameworks will be valuable in building a robust and sustainable second-line function. You will collaborate closely with cross-functional stakeholders — including Fraud Operations, Compliance, Risk, and Internal Audit — to ensure consistent implementation of fraud governance requirements, effective remediation of identified risks, and transparent communication of key fraud indicators. You are driven, analytical, and solutions-oriented, comfortable working under pressure in a dynamic fintech environment. You thrive in data-driven environments, excel at detail-oriented tasks, and can shift seamlessly between strategic thinking and hands-on analysis. Your Responsibilities Financial Crime Dashboards & Monitoring Build and maintain dashboards covering AML and fraud activity, alerts, cases, and key risk indicators. Regulatory & Internal Reporting Support Perform data extractions and analysis to support MLROs with regulatory submissions (e.g., SARs/STRs), audits, and supervisory requests. Alert & Case Metrics Analysis Track alert volumes, false positives, investigation outcomes, and SLA performance to support control effectiveness. Risk & Trend Analysis Identify emerging fraud and AML trends across customers, merchants, products, and geographies. Data Support for Financial Crime Operations Provide timely, accurate data to MLROs and Financial Crime teams for internal reporting, committees, and management updates. Your Expertise 1-3 years of experience in fraud risk management, internal fraud, or governance, preferably within a regulated financial institution or fintech. Experience within or alongside Big Four consulting firms in establishing or assessing internal fraud frameworks aligned with SAMA CFF or similar regulatory standards. Technical proficiency in SQL and comfort with analyzing large datasets. Strong investigative and analytical skills with hands-on exposure to fraud operations and risk assessment. Demonstrated experience in working with regulators (SAMA), preparing documentation, and ensuring full compliance and maturity against regulatory frameworks. Strong collaboration and communication skills, with the ability to work cross-functionally and influence stakeholders. Educational background in IT, Computer Engineering, Software Engineering, or another technical field preferred. High attention to detail, structured thinking, and ability to work independently under minimal supervision. Strong business judgment, discretion, and integrity when handling confidential and sensitive matters. Join the revolution Tamara is a vibrant hub of exceptional individuals worldwide, with over 40+ nationalities committed to working with the broadest talent pool possible. We're proud of the wealth of cultural backgrounds that shape our teams, ensuring every experience is acknowledged and celebrated. We seek self driven individuals, fuelled by curiosity, ready to take control of their professional and personal development. We’re creating a place where possibilities are for the taking through career mobility, mentoring and cross-border collaboration. This approach has earned us a spot as one of the competitive tech companies to work for. All qualified individuals are encouraged to apply.To learn more about how we protect your privacy, please visit our Candidate privacy notice.

Responsibilities

The Business Intelligence Analyst will build and maintain dashboards for AML and fraud activity, and support regulatory submissions and audits. They will analyze data to identify fraud trends and provide timely data to financial crime teams.